eXpress 1.5.3 – Streaming Quantification for High-throughput Sequencing

eXpress 1.5.3

:: DESCRIPTION

eXpress is a streaming tool for quantifying the abundances of a set of target sequences from sampled subsequences. Example applications include transcript-level RNA-Seq quantification, allele-specific/haplotype expression analysis (from RNA-Seq), transcription factor binding quantification in ChIP-Seq, and analysis of metagenomic data. It is based on an online-EM algorithm [1] that results in space (memory) requirements proportional to the total size of the target sequences and time requirements that are proportional to the number of sampled fragments. Thus, in applications such as RNA-Seq, eXpress can accurately quantify much larger samples than other currently available tools greatly reducing computing infrastructure requirements. eXpress can be used to build lightweight high-throughput sequencing processing pipelines when coupled with a streaming aligner (such as Bowtie), as output can be piped directly into eXpress, effectively eliminating the need to store read alignments in memory or on disk.

::DEVELOPER

Pachter Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Mac OsX / Windows

:: DOWNLOAD

 eXpress

:: MORE INFORMATION

Citation

Roberts A and Pachter L (2012).
Streaming fragment assignment for real-time analysis of sequencing experiments.
Nat Methods. 2013 Jan;10(1):71-3. doi: 10.1038/nmeth.2251.

BOOGIE – Predicting Blood Groups from High Throughput Sequencing Data

BOOGIE

:: DESCRIPTION

BOOGIE is a fast predictor for the inference of blood groups from single nucleotide variant (SNV) databases.

::DEVELOPER

The BioComputing UP lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • C++ Compiler

:: DOWNLOAD

 BOOGIE

:: MORE INFORMATION

Citation

BOOGIE: Predicting Blood Groups from High Throughput Sequencing Data.
Giollo M, Minervini G, Scalzotto M, Leonardi E, Ferrari C, Tosatto SC.
PLoS One. 2015 Apr 20;10(4):e0124579. doi: 10.1371/journal.pone.0124579.

UEA sRNA Workbench 4.6 ALPHA – Analysing micro RNA and other small RNA data from High-Throughput Sequencing devices

UEA sRNA Workbench 4.6 ALPHA

:: DESCRIPTION

The UEA sRNA workbench is a new simple to use, downloadable sRNA software package based on algorithms developed for the original UEA sRNA Toolkit that will perform a complete analysis of single or multiple-sample sRNA datasets from both plants and animals to identify interesting landmarks (such as detection of novel micro RNA sequences) or other tasks such as profiling small RNA expression patterns in genetic data.

::DEVELOPER

the RNA Computational Biology group at the University of East Anglia (UEA)

:: SCREENSHOTS

UEAsRNA

:: REQUIREMENTS

  • Windows/ Linux /MacOsX
  • Java 

:: DOWNLOAD

 UEA sRNA Workbench

:: MORE INFORMATION

Citation

Stocks, M. B.; Moxon, S.; Mapleson, D.; Woolfenden, H. C.; Mohorianu, I.; Folkes, L.; Schwach, F.; Dalmay, T. & Moulton, V. (2012)
The UEA sRNA workbench: a suite of tools for analysing and visualizing next generation sequencing microRNA and small RNA datasets.
Bioinformatics ,Vol. 28,pp. 2059-2061

RNA Biol. 2013 Jul;10(7):1221-30. doi: 10.4161/rna.25538. Epub 2013 Jun 28.
CoLIde: a bioinformatics tool for CO-expression-based small RNA Loci Identification using high-throughput sequencing data.
Mohorianu I1, Stocks MB, Wood J, Dalmay T, Moulton V.

MiRPlex 0.1 – microRNA Prediction from High-throughput Sequencing data

MiRPlex 0.1

:: DESCRIPTION

MiRPlex is a tool for microRNA prediction from high-throughput sequencing data that requires only small RNA datasets as input.

::DEVELOPER

the RNA Computational Biology group at the University of East Anglia (UEA)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/ Linux
  • Java

:: DOWNLOAD

 MiRPlex

:: MORE INFORMATION

Citation

Mapleson, D.; Moxon, S.; Dalmay, T.; Moulton, V.,
MirPlex: A tool for identifying miRNAs in high-throughput sRNA datasets without a genome.
J Exp Zool B Mol Dev Evol. 2013 Jan;320(1):47-56. doi: 10.1002/jez.b.22483. Epub 2012 Nov 26.

HiTEC 20110131 – Accurate Error Correction in High-throughput Sequencing data

HiTEC 20110131

:: DESCRIPTION

HiTEC (High Throughput Error Correction) , an algorithm that provides a highly accurate, robust and fully automated method to correct reads produced by high-throughput sequencing methods. The approach provides significantly higher accuracy than previous methods. It is time and space efficient and works very well for all read lengths, genome sizes and coverage levels.

::DEVELOPER

LUCIAN ILIE

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 HiTEC

:: MORE INFORMATION

Citation

L. Ilie, F. Fazayeli, S. Ilie,
HiTEC: accurate error correction in high-throughput sequencing data,
Bioinformatics 27(3) (2011) 295 — 302.

NGC 0.0.1 – Compressor for High-throughput Sequencing data

NGC 0.0.1

:: DESCRIPTION

NGC is a compressor for aligned HTS sequencing data that enables the complete lossless and lossy compression of mapped alignment data stored in SAM/BAM files.

::DEVELOPER

Niko Popitsch the Center of Integrative Bioinformatics Vienna (CIBIV)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX
  • Java

:: DOWNLOAD

 NGC

:: MORE INFORMATION

Citation

Niko Popitsch and Arndt von Haeseler
NGC: lossless and lossy compression of aligned high-throughput sequencing data
Nucl. Acids Res. (7 January 2013) 41 (1): e27.

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